Multi party Collision Avoidance among Unmanned Aerial Vehicles
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F07%3A00134183" target="_blank" >RIV/68407700:21230/07:00134183 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Multi party Collision Avoidance among Unmanned Aerial Vehicles
Original language description
This paper addresses the problem of distributed cooperative collision avoidance that supports efficient utilization of air space shared by several autonomous unmanned aerial vehicles. The novel multi-party collision avoidance (MPCA) algorithm is described. It is compared to the iterative peer-to-peer collision avoidance (IPPCA) algorithm that iteratively optimizes social welfare. The paper provides a set of experiments and a comparison of different collision avoidance mechanisms in a multi-agent model of air traffic.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology - Proceedings
ISBN
978-0-7695-3027-7
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
403-406
Publisher name
IEEE Computer Society
Place of publication
Los Alamitos
Event location
Silicon Valley, California
Event date
Nov 2, 2007
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000252477900071